Create app.py

app.py

@@ -0,0 +1,21 @@
+from transformers import AutoModelForQuestionAnswering,
+AutoTokenizer,pipeline
+import streamlit as st
+import ast
+model_name="deepset/roberta-base-squade2"
+pipe=pipeline('question-answering',model=model_name,tokenizer=model_name)
+def answer_question(question,context):
+    text="{"+"'question': '"+question + "',''context':'"+context+"'}"
+    di= ast.literal_eval(text)
+    response= pipe(di)
+    return response
+
+st.title("Q&A App")
+
+context = st.text_area("Enter the context:")
+question = st.text_input("Enter your question:")
+
+if st.button("Get Answer"):
+    answer = answer_question(context, question)
+    st.write(f"Answer: {answer}")
+